Cruise Control Lane Change Path Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cruise control systems for autonomous driving lack the capability to safely change lanes on curved roads without invading adjacent lanes or colliding with other vehicles or objects, as they do not effectively assess and mitigate risks associated with lane changes on complex road geometries.
Innovation Solution
A cruise control system that includes an information collector, a first path generator for creating a change path on a straight road, and a second path generator for adapting this path to the actual road's geometry, along with a path selector that determines the safest lane change path by assessing the risk of collision based on distance and road curvature, ensuring a safe lane change by selecting the path with the minimum risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a lane change path is generated on a straight road model, then the path generation is simple, but the path does not account for actual road curvature and may invade adjacent lanes or cause collisions
Solution Approach 1:
The path generation process is divided into two independent modules: a first path generator that creates paths on a straight road model, and a second path generator that adapts these paths to the actual curved road geometry. This segmentation allows each module to specialize in one aspect, maintaining simplicity while improving safety through the combination of both generators.
Solution Approach 2:
The first path generator acts as an intermediary that creates idealized paths on a simplified straight road model, which are then transformed by the second path generator to account for actual road curvature. This intermediary approach allows the system to benefit from both simple path planning and accurate road geometry consideration.
2Reliability
If the system generates multiple change paths with risk assessment, then the lane change safety is improved, but the computational complexity increases
Solution Approach 1:
The first path generator pre-calculates multiple candidate paths on a straight road model before the second path generator adapts them to the actual curved road geometry. This preliminary action allows the system to evaluate multiple options and select the safest path while maintaining computational efficiency through the modular structure.
3Measurement precision
If the path is adapted to actual road geometry, then the path accuracy is improved, but the processing time increases
Solution Approach 1:
The path adaptation process is segmented into two stages: first generating paths on a simplified straight road model (fast computation), then adapting these paths to the actual curved road geometry (accurate but more computationally intensive). This segmentation balances processing time and path accuracy by performing the computationally heavy adaptation only once on pre-generated candidate paths.
Data Source
AI summary
Provided are a cruise control system for controlling a driving device and a corresponding method. The cruise control system includes: an information collector configured to obtain road information and driving information; a first path generator configured to generate a first change path connecting a first lane changing start point and a first lane changing end point on a straight road, based on the road information and the driving information; and a second path generator configured to generate a driving road corresponding to an actual road from the straight road, based on the road information, and generate a second change path connecting a second lane changing start point and a second lane changing end point on the driving road.